{"id":"W3171267576","doi":"10.1002/asjc.2567","title":"Security‐aware optimal actuator placement in vehicle platooning","year":2021,"lang":"en","type":"article","venue":"Asian Journal of Control","topic":"Traffic control and management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Platoon; Stackelberg competition; Actuator; Computer security; Computer science; Drone; Stochastic game; Cyber-physical system; Control theory (sociology); Control (management); Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000222799,0.0001226468,0.000293112,0.0001143119,0.00002302149,0.00004739146,0.0001258358,0.00004393563,0.000157789],"category_scores_gemma":[0.00002762331,0.0001194752,0.00011345,0.0001136885,0.000009443992,0.000162558,0.00001556118,0.0002649224,0.00001093122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008783706,"about_ca_system_score_gemma":0.00005550855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.442582e-7,"about_ca_topic_score_gemma":0.00002223633,"domain_scores_codex":[0.9990062,0.00003644241,0.0004111685,0.00008588129,0.0002078127,0.0002524869],"domain_scores_gemma":[0.9996021,0.00003984801,0.00007370116,0.0001124909,0.00006229633,0.0001096117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003366555,0.0002177469,0.001479573,0.0001233542,0.0008574555,0.003237428,0.002820947,0.9099351,0.005708965,0.0008832325,0.005631877,0.06876769],"study_design_scores_gemma":[0.08954822,0.001337487,0.06618969,0.001616918,0.0008479465,0.001109158,0.02248406,0.5632603,0.005608745,0.0007906124,0.2449327,0.00227427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9371606,0.003893297,0.04353557,0.003692367,0.001583209,0.0003569856,0.00001553627,0.0001332001,0.009629194],"genre_scores_gemma":[0.9993747,0.00003071429,0.0002284761,0.0001193462,0.0001738022,0.000004560655,8.943044e-7,0.00001778785,0.0000496962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3466748,"threshold_uncertainty_score":0.4872057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003295676323518308,"score_gpt":0.186259451748535,"score_spread":0.1829637754250167,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}